Thinking about how us meatbots actually work could deliver AI that’s more useful and fair.

Secrets to good AI: Designers at Google spent three years helping build AI for the firm’s Clips wearable camera, and they published a blog post about what they learned. They say the best AIs solve a real human problem, do things in a way that makes sense to humans, and build trust with users. Easy, right?

And how to build ’em: A new tool called Cortex could get designers more involved in building AI. Its graphical user interface makes building complex algorithms simpler and should help non-nerds create AI that’s helpful for humans.

Why it matters: Many AI problems, like bias, stem from the fact that such a narrow group of people are building the technology. Opening up design and focusing on end users could make AI both better and fairer.

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Jackie SnowI am MIT Technology Review’s associate editor for artificial intelligence. I cover stories about where AI is currently, where it’s headed, and what’s wrong with the hype around the technology. I also put together The Algorithm, our daily newsletter on the latest in artificial intelligence. Previously I worked for Fast Company and have been published by the New York Times, National Geographic, Wall Street Journal, and others.

ImageAndy Kelly | Unsplash

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Author

Jackie SnowI am MIT Technology Review’s associate editor for artificial intelligence. I cover stories about where AI is currently, where it’s headed, and what’s wrong with the hype around the technology. I also put together The Algorithm, our daily newsletter on the latest in artificial intelligence. Previously I worked for Fast Company and have been published by the New York Times, National Geographic, Wall Street Journal, and others.

ImageAndy Kelly | Unsplash

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